S. Witt

773 citations
8 papers · 577 indexed · 1 hit paper · h-index 6
Topics
Advanced machining processes and optimization (4 papers)Engineering Technology and Methodologies (3 papers)Manufacturing Process and Optimization (2 papers)
Journals
CIRP AnnalsProduction EngineeringRWTH Publications (RWTH Aachen)
Partner nations
GermanyCanada

In The Last Decade

S. Witt

8 papers receiving 522 citations

Hit Papers

Virtual Machine Tool20052026201220192005100200300

Peers

S. Witt
Comparison fields: 5 of 30
  • Mechanical Engineering 491
  • Industrial and Manufacturing Engineering 272
  • Biomedical Engineering 159
  • Control and Systems Engineering 152
  • Electrical and Electronic Engineering 49
Replace Farbod Akhavan Niaki with:
Farbod Akhavan Niaki United States
Warren R. DeVries United States
Sung-Chong Chung South Korea
Wenping Mou China
Xiaodong Shao China
Reddy Sreenivasulu India
Biao Mei China
K.P. Padmanaban India
Deniz Aslan Canada
Hélène Chanal France
S. Witt relative to Farbod Akhavan Niaki United States Farbod Akhavan Niaki's profile →
Citations per field
00.5×5.2×
Farbod Akhavan Niaki · 1×
Citations per year

Countries citing papers authored by S. Witt

Since Specialization
Citations

This map shows the geographic impact of S. Witt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Witt more than expected).

Fields of papers citing papers by S. Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Witt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Witt. The network helps show where S. Witt may publish in the future.

Co-authorship network of co-authors of S. Witt

This figure shows the co-authorship network connecting the top 25 collaborators of S. Witt. A scholar is included among the top collaborators of S. Witt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Witt. S. Witt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Ressourceneffizienz im Werkzeugmaschinenbau
2
2 7
3 172
4 23
5 5
6
Simulation of machine process interaction with flexible multi-body simulation
8
7
Virtual Machine Toolbreakdown →
357
8
Static, dynamic and thermal behaviour of machine tools with regard to HPC
3

About S. Witt

S. Witt is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computational Mechanics, having authored 8 papers that have together received 577 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (4 papers), Engineering Technology and Methodologies (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (272 citations), Mechanical Engineering (491 citations) and Control and Systems Engineering (152 citations). S. Witt has collaborated with scholars based in Germany and Canada. Frequent co-authors include Christian Brecher, Manfred Weck, Yusuf Altıntaş, Martin Esser, Timo Würz, Helmut Bode and Peter Wagner. Their work appears in journals such as CIRP Annals, Production Engineering and RWTH Publications (RWTH Aachen).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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